In this podcast, Arvind Jain discusses AI-powered enterprise search, Google Gemini, and open-source vs closed models. They touch on data confidentiality, building language models, permissions, compliance, and productivity software in tech businesses. The conversation also explores the future of search interfaces, commercial intent, AI in the workplace, and monetization strategies.

Arvind Jain, CEO and co-founder of Glean, previously contributed to Google Search and co-founded Rubric. In this discussion, he shares how Glean revolutionizes enterprise search despite complex user permissions. Arvind highlights the integration of generative AI to enhance knowledge work, emphasizing the significance of personalized searches. He introduces concepts like Retrieval-Augmented Generation and agentic reasoning, envisioning a future where AI assistants boost workplace productivity by transforming knowledge retrieval and collaboration.

Arvind Jain, Founder of Glean, defied lean startup advice and grew the company to $3M in revenue in just 1 year. He didn't follow traditional MVP, ignored market feedback, and didn't charge beta users for 2 years. With conviction and persistence, Arvind tripled revenue each year, reaching $200M funding at a $2B valuation. His advice for founders is to know when to follow the playbook and when to write your own.